most citedHandwritten Bangla Basic and Compound character recognition using MLP and SVM classifier

81 citations · 244 across the 13 of their papers we have counts for

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10 papers · 1 filter

cs.CV2012

Computationally Efficient Implementation of Convolution-based Locally Adaptive Binarization Techniques

Ayatullah Faruk Mollah, Subhadip Basu, Mita Nasipuri

One of the most important steps of document image processing is binarization. The computational requirements of locally adaptive binarization techniques make them unsuitable for de…

cs.CV201012 cited

Recognition of handwritten Roman Numerals using Tesseract open source OCR engine

Sandip Rakshit, Amitava Kundu, Mrinmoy Maity +3

The objective of the paper is to recognize handwritten samples of Roman numerals using Tesseract open source Optical Character Recognition (OCR) engine. Tesseract is trained with d…

cs.CV20105 cited

Development of a Multi-User Recognition Engine for Handwritten Bangla Basic Characters and Digits

Sandip Rakshit, Debkumar Ghosal, Tanmoy Das +2

The objective of the paper is to recognize handwritten samples of basic Bangla characters using Tesseract open source Optical Character Recognition (OCR) engine under Apache Licens…

cs.CV201026 cited

Recognition of Handwritten Textual Annotations using Tesseract Open Source OCR Engine for information Just In Time (iJIT)

Sandip Rakshit, Subhadip Basu, Hisashi Ikeda

Objective of the current work is to develop an Optical Character Recognition (OCR) engine for information Just In Time (iJIT) system that can be used for recognition of handwritten…

cs.CV20104 cited

Recognition of Handwritten Roman Script Using Tesseract Open source OCR Engine

Sandip Rakshit, Subhadip Basu

In the present work, we have used Tesseract 2.01 open source Optical Character Recognition (OCR) Engine under Apache License 2.0 for recognition of handwriting samples of lower cas…

cs.CV20104 cited

Development of a multi-user handwriting recognition system using Tesseract open source OCR engine

Sandip Rakshit, Subhadip Basu

The objective of the paper is to recognize handwritten samples of lower case Roman script using Tesseract open source Optical Character Recognition (OCR) engine under Apache Licens…